A Chemically Fueled Logic Gate With Temporally Programmable Output Delays by Harnessing Transient States of One Molecule in Two Independent Reaction Pathways

ABSTRACT Temporal output delays in logic gates are ubiquitous in biological systems, especially in the nervous system, which sustains the signal transmission with enhanced computational complexity and transmission accuracy. However, temporally programmable output delays in chemically fueled logic gates (CFLGs) have not been achieved in an artificial system. Here, we report a bioinspired CFLG with programmable time delays of the output signal by harnessing transient states of the same molecule in two independent reaction networks. The CFLGs show programmable transient states by regulating reaction networks of urea‐urease and adenosine triphosphate and potato apyrase, respectively. Notably, a transient state with delayed output emerges, mimicking the signal processing in the synaptic delay of biological systems. A self‐destructive information encryption with enhanced coding capacity and safety is achieved in the arrays of CFLGs with spatiotemporally programmable output states. The findings in this work expand the range of non‐equilibrium soft materials and will accelerate the development of innovative materials that can execute exquisite logic functions with enhanced coding capacity and biomimetic time delays.

Authors

Institutions

Publication Details

Journal
Angewandte Chemie
Published
2026-07-17
DOI
https://doi.org/10.1002/ange.5439859
Primary Topic
Supramolecular Self-Assembly in Materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Chemically Fueled Logic Gate With Temporally Programmable Output Delays by Harnessing Transient States of One Molecule in Two Independent Reaction Pathways

D Liu, Guanglu Wu, Yunfeng Li, Jiahui Li et al.
Angewandte Chemie
Supramolecular Self-Assembly in Materials
article

A Chemically Fueled Logic Gate With Temporally Programmable Output Delays by Harnessing Transient States of One Molecule in Two Independent Reaction Pathways

D Liu, Guanglu Wu, Yunfeng Li, Jiahui Li, Bai Jun Yang, Junjie Dong, Chunyu Pan, Yixiong Duan, Xuemei Jiang, Mengyuan Li
article en

Abstract

ABSTRACT Temporal output delays in logic gates are ubiquitous in biological systems, especially in the nervous system, which sustains the signal transmission with enhanced computational complexity and transmission accuracy. However, temporally programmable output delays in chemically fueled logic gates (CFLGs) have not been achieved in an artificial system. Here, we report a bioinspired CFLG with programmable time delays of the output signal by harnessing transient states of the same molecule in two independent reaction networks. The CFLGs show programmable transient states by regulating reaction networks of urea‐urease and adenosine triphosphate and potato apyrase, respectively. Notably, a transient state with delayed output emerges, mimicking the signal processing in the synaptic delay of biological systems. A self‐destructive information encryption with enhanced coding capacity and safety is achieved in the arrays of CFLGs with spatiotemporally programmable output states. The findings in this work expand the range of non‐equilibrium soft materials and will accelerate the development of innovative materials that can execute exquisite logic functions with enhanced coding capacity and biomimetic time delays.

Angewandte Chemie
Jilin University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 15%
Supramolecular Self-Assembly in Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.